Xu Zhaocheng, Pan Ruiqi
School of Business, Shanghai Dianji University, Shanghai, 201306, China.
Sci Rep. 2024 Oct 30;14(1):26145. doi: 10.1038/s41598-024-77584-3.
Based on the perspective of green technology innovation, this paper takes listed companies in China's manufacturing industry from 2012 to 2022 as the research sample, and adopts the Driscoll-Kraay standard error method to explore the relationship between intelligent manufacturing and the high-quality development of the manufacturing industry. The results show that intelligent manufacturing can promote high-quality development of manufacturing industry Green technology innovation plays an mediating role in the above relationship. The above findings still hold after considering robustness tests and endogeneity treatments. Heterogeneity analysis indicates the application of intelligent manufacturing in state-owned enterprises, CEO separately enterprises and heavily polluting industries has a stronger role in promoting the development of manufacturing industry. This paper complements the existing research results on intelligent manufacturing and also establishes a realistic path for the high-quality development of China's manufacturing industry.
基于绿色技术创新视角，本文选取2012—2022年中国制造业上市公司作为研究样本，采用德里斯柯尔-克拉伊（Driscoll-Kraay）标准误方法，探究智能制造与制造业高质量发展之间的关系。研究结果表明，智能制造能够促进制造业高质量发展，绿色技术创新在上述关系中发挥中介作用。经过稳健性检验和内生性处理后，上述研究结果依然成立。异质性分析表明，智能制造在国有企业、CEO独董企业以及重污染行业中的应用，对制造业发展的促进作用更强。本文补充了现有关于智能制造的研究成果，也为中国制造业高质量发展确立了现实路径。
